This paper deals with the application of two nonlinear observer-based
fault detection and isolation schemes to a laboratory hydraulic instal
lation under digital control. Both methods employ a bank of observers
in order to isolate different faults. Residual generators are develope
d which take into account system nonlinearities, model uncertainties a
nd disturbances. Practical results demonstrate that faults can be succ
essfully detected and isolated.